NEW paper worth reading.
(bookmark it)
Autonomous research systems usually prove themselves on cherry-picked wins, human-framed topics, or a handful of preset tasks.
FARS runs the full loop at scale instead. Stage-specific agents handle ideation, planning, experimentation, and writing over a shared workspace that records proposals, code, logs, results, and manuscripts.
Its first public deployment produced 166 complete papers across 67 fine-grained AI/ML topics, and it kept the failures in the corpus rather than curating a highlight reel.
Why it matters.